基于广义Kalman估计的机载雷达高精度控制系统

 研究了在某型现役机载雷达系统中, 采用广义Kalman 滤波器方法来预估目标机的俯仰角和方位角,产生跟踪目标用的雷达天线驱动信号, 替代传统的速率陀螺测量元件来补偿本机机动所造成的扰动的方法,同时对探测信号本身所具有的延迟起到了补偿作用。对目标的运动采用直角坐标系中的Singer 模型描述, 而对测量信号则是应用极坐标系中的描述, 采用广义Kalman 滤波器来完成估计, 即在每一步的估计和控制中对计算测量方程进行线性化结果, 实现两种坐标系的转换。通过应用Matlab/ Simulink 软件对整个系统的建模、设计及仿真研究, 得到了满意的结果。

High Accurate Control of Radar System on Plane-Board Based on Extended Kalman Filter

The application of extended Kalman filters to compensate for the disturbance fro m plane movements for the radar system on the plane board is researched in this paper instead of traditional methods which used velocity gyro. Now in the plane board radar antenna system, the extended Kalman filter is adopted to estimate the elevation and azimuth angles of a target plane as driving signals for the ra dar system to track the target. At the same time, the new method can also compen sate for the delay of detection signals. In addition, target movement is describ ed with the Singer model in an orthogonal coordinate system and the measurement signal is estimated by an extended Kalman filter in the polar coordinate system, that is to say, measurement equations are linearized in each step to make the c onversion of the equations to the orthogonal coordinate system. With Matlab/Simu link software the modeling, design and simulation are successfully finished and satisfactory results are also obtained.